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researcher to conduct education and research related to the development of AI-based subseasonal-to-seasonal prediction models. https://www.jst.go.jp/k-program/program/kaiyou4.html [Work content and job
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Offer Description [Background of the recruitment and description of the project] * Background of the recruitment and description of the project Laboratory of Mathematical Modeling, Division
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intelligence. Our research spans computer vision, machine learning, and natural language processing, focusing on multimodal learning, data fusion, spatial-temporal modeling, and vision–language models. We study
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, disease modeling using mice and cultured cells and gene expression experiments, bioinformatics analysis of next-generation sequencing data (R, Python, etc.). A successful candidate will be actively involved
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Imaging Core, which enables data acquisition at diverse spatial and temporal resolutions using state-of-the-art optical imaging systems, thereby advancing our understanding of brain structure and function
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Engineering in general (Spatial/environmental statistics, geographic information systems, big data analysis and utilization, information sensing, sensor fusion/integration, intelligent transportation systems
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Ph.D. New Ph.D. graduate (28 years old): Approximately 6,300k JPY (before tax) *The model annual salary applies when the Discretionary Working Time System is in effect. *The model annual salary is the
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professional experience after obtaining a Ph.D. New Ph.D. graduate (28 years old): Approximately 6,300k JPY (before tax) *The model annual salary applies when the Discretionary Working Time System is in effect
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Ph.D. New Ph.D. graduate (28 years old): Approximately 6,300k JPY (before tax) *The model annual salary applies when the Discretionary Working Time System is in effect. *The model annual salary is the
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. Additional amounts are added if you have proven professional experience after obtaining a Ph.D. New Ph.D. graduate (28 years old): Approximately 6,300k JPY (before tax) *The model annual salary applies when